Author: United States. Air Weather Service
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 28
Book Description
List of Available AWS Technical Reports
Author: United States. Air Weather Service
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 28
Book Description
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 28
Book Description
List of Available AWS Technical Reports
Author: United States. Air Weather Service
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 28
Book Description
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 28
Book Description
Index of Air Weather Service Technical Reports
Technical Abstract Bulletin
A DDC Bibliography of Bibliographies in the DDC Collection
Author: Defense Documentation Center (U.S.)
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 448
Book Description
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 448
Book Description
Bibliography of Bibliographies (unclassified Title)
Author: Defense Documentation Center (U.S.)
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 124
Book Description
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 124
Book Description
Bibliography of Bibliographies (unclassified Title); Supplement
Author: Defense Documentation Center (U.S.)
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 114
Book Description
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 114
Book Description
Selected Technical Reports
Author: United States. Federal Aviation Administration
Publisher:
ISBN:
Category :
Languages : en
Pages : 590
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 590
Book Description
Software Architecture for Big Data and the Cloud
Author: Ivan Mistrik
Publisher: Morgan Kaufmann
ISBN: 0128093382
Category : Computers
Languages : en
Pages : 470
Book Description
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data
Publisher: Morgan Kaufmann
ISBN: 0128093382
Category : Computers
Languages : en
Pages : 470
Book Description
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data